Triple
T19442218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louvet de Couvrai |
E486377
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Louvet |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Louvet | Statement: [Louvet de Couvrai, familyName, Louvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louvet Context triple: [Louvet de Couvrai, familyName, Louvet]
-
A.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
B.
Louvet de Couvrai
chosen
Louvet de Couvrai was a French novelist, journalist, and revolutionary politician best known for his radical republicanism during the French Revolution and his membership in the Girondin faction.
-
C.
Rouvier
Rouvier is a French surname most notably associated with Maurice Rouvier, a prominent statesman who served as Prime Minister of France in the early 20th century.
-
D.
LeGros
LeGros is a surname most notably associated with American actor James LeGros, known for his work in independent films and television.
-
E.
Luxettipet
Luxettipet is a town in the Mancherial district of Telangana, India, known as a local commercial and administrative center on the banks of the Godavari River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63365343081908683c29f6c4c194b |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.